Unmapped Water Access: Locating the Role of Religion in Access to Municipal Water Supply in Ahmedabad
Bibliographic record
Abstract
Poor access to municipal water in Ahmedabad’s Muslim areas has been tied to the difficulties of implementing a planning mechanism called the town planning scheme, which, in turn, have been premised on widespread illegal constructions that have developed across these sites. Residents, local politicians, and activists associate this causal explanation offered by engineers and planners for poor water access with a deliberate state-led intent to discriminate against them on the basis of religion. Using this causal association as a methodological entry-point, I examine through this paper how religious difference mediates decision-making and outcomes embodied by technical plans. Demonstrating how the uneven implementation of plans is not always a state-driven exercise as is often imagined, but instead a culmination of intense mediations between influential state and non-state actors with varying interests, I offer the following insights on water governance for sites divided by religion: (a) Negotiations driven by discourses on religious difference are a powerful force influencing the formulation of plans facilitating water access. However, these negotiations and plans are, simultaneously, also vulnerable to other political, legal, and economic pressures. Water governance across such sites thus often unfolds in an unstable landscape of unmapping and mapping; (b) influential legal actors from both majority and minority communities exert pressures obstructing the formulation and implementation of technical plans. The production of observable unmapped water access in minority areas thus, in reality, might not be contained within neat divides such as religion or illegality, but instead be a culmination of shifting interests, contestations, and negotiations confounding such categories; (c) institutionalized planning practices implicated in the intentional production of unmapping in such contexts might instead simply be discursive categories around which uneven water access coalesces.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".